Commercial Vehicle Loading Zone Delivery Envelope Measurements and Simulator Data

The CVLZ measurement database (in the report) contains measurements, tailored to different types of truck configurations, loading equipment and accessories, of the operating envelope around a commercial vehicle. Three different data types were obtained from Oregon State Driving and Bicycling Simulator Laboratory for purpose of this report and they are as follow: 1) Pre-post survey data (all included in one excel file) consists of series of questions that were answered in an online Qualtrics survey by 48 participants to a) identify their demographic variables, and b) map their self-reported responses to their behavior while riding through the experiment so that results can be validated. 2) Speed data was collected based on the cyclist’s speed while riding through the scenarios. For each scenario, the average speed (m/sec) of 48 cyclists from 25 meter before the location of the commercial vehicle to 15 meter after was recorded. 3) Lateral position data was collected based on cyclist’s divergence from the center of the bike lane. The average lateral position (m) of 48 cyclists from 25 meter before the location of the commercial vehicle to 15 meter after for each independent variable level was recorded. Note that center of the bike lane was defined as 0 m making the left edge -0.92 m (travel lane side). 50 participants were recruited, two of them had a simulator sickness so they were excluded from the data and the analysis. Therefore, the data has no quality or consistency issues and it is ready to be used. The average values were calculated to easily apply the optimal statistical analysis for such data (speed and lateral position). As the experiment consists of 3x3x2 factorial design, each participant had to ride 18 scenarios; therefore, 864 observations were obtained and recorded in the excel file.

本报告中的CVLZ测量数据库（CVLZ measurement database）包含针对不同类型卡车配置、装载设备及附件的商用车辆周边作业包络测量数据。为完成本报告，从俄勒冈州立大学驾驶与骑行模拟实验室（Oregon State Driving and Bicycling Simulator Laboratory）获取了三类不同数据，具体如下：
1. 前后测问卷数据（全部收录于单个Excel文件）：由48名参与者通过在线Qualtrics问卷作答的系列问题，用于a) 采集其人口统计学变量，b) 将自我报告的应答与实验骑行过程中的行为进行匹配，以验证实验结果。
2. 速度数据：采集骑行过程中骑行者的行驶速度。针对每个实验场景，记录了48名骑行者在商用车辆位置前25米至后15米区间内的平均速度（单位：米/秒）。
3. 横向位置数据：采集骑行者与自行车道中心线的偏离情况。针对每个自变量水平，记录了48名骑行者在商用车辆位置前25米至后15米区间内的平均横向位置（单位：米）。注：自行车道中心线定义为0米，左侧边缘为-0.92米（行车道侧）。
本次实验最初招募了50名参与者，其中2名因出现模拟器不适被排除在数据分析之外，因此本数据集无质量或一致性问题，可直接投入使用。针对此类速度与横向位置数据，已计算平均值以方便开展最优统计分析。由于实验采用3×3×2析因设计，每名参与者需完成18个场景的骑行实验，最终共获取并记录了864条观测数据，均收录于Excel文件中。